class_docstr: A simple counter
docstr: Args:
      v(float or np.ndarray): has to be the same shape between calls.
docstr_tok: ["Args",":","v","(","float","or","np.ndarray",")",":","has","to","be","the","same","shape","between","calls","."]
code: def feed(self, v):
      """
      Args:
          v(float or np.ndarray): has to be the same shape between calls.
      """
      self._values.append(v)
      if len(self._values) > self.max_size:
          self._values = self._values[-self.max_size :]
  
imports: import csv
  import numpy
  import tensorflow
  import os
  import six
label_desc: Use image node_id 2 for calling the StatCounter obj's underlying member method code with example usage: obj.feed(v) without return types